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DE&A - Core - Cloud Data Engineering - Databricks

Zensar

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What engineering roles keep asking for: Python (21%), AWS (21%), Observability (14%), System design (14%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Zensar?
  2. What is your experience with Azure? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

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The role is responsible for supporting end-to-end data and reporting services across the analytics landscape, including Power BI dashboards, Azure Databricks data processing and transformation pipelines, Azure SQL/Synapse data warehouses, minor enhancements and associated Azure data platform components. Mandatory 8+ years of experience in BI, Data Engineering, or Analytics Platform Support. Minimum 5 years of hands-on experience supporting Azure Databricks environments. Strong PySpark development and troubleshooting experience. Experience supporting enterprise-wide analytics and reporting platforms. Strong SQL troubleshooting and data investigation skills. Experience supporting Power BI production environments. Experience working in a production support or IT operations environment.

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Listed on oraclehcm · posted 2026-10-28. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.